If You Like Someone Great(2019)
Based on real preference data from thousands of voters, here's what fans of Someone Great also love.
40 connections found
#1148xTo All the Boys: P.S. I Still Love You
2020
#2103xSet It Up
2018
#375xThe Kissing Booth
2018
#465xTo All the Boys I've Loved Before
2018
#558xCrazy Rich Asians
2018
#633xThe DUFF
2015
#731xBride Wars
2009Life as We Know It
2010
#929xThe Princess Diaries 2: Royal Engagement
2004
#1029xA Cinderella Story
2004
#1128xJohn Tucker Must Die
2006
#1228xLove, Rosie
2014
#1328xMiss Congeniality
2000
#1426x17 Again
2009
#1526xFriends with Benefits
2011
#1626xThe Princess Diaries
2001
#1726x27 Dresses
2008
#1826xThe Parent Trap
1998
#1925xThe Holiday
2006
#2025xHow to Lose a Guy in 10 Days
2003
#2124xShe's the Man
2006
#2224x13 Going on 30
2004
#2324xLegally Blonde
2001
#2423xThe Proposal
2009
#2522xFreaky Friday
2003
#2622xClueless
1995
#2722xThe Devil Wears Prada
2006
#2821xPitch Perfect
2012
#2917xEasy A
2010
#3016xThe Fault in Our Stars
2014
#3116x10 Things I Hate About You
1999
#3215xMean Girls
2004
#3312xThe Notebook
2004
#349.1xThe Perks of Being a Wallflower
2012
#358.8xJuno
2007
#367.7xThe Breakfast Club
1985
#376.4xUp
2009
#386.1xThe Hunger Games
2012
#396.0xDeadpool
2016
#402.8xInception
2010How does this work?
These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love Someone Great consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Someone Great are to enjoy each recommendation compared to the average person.
Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.